Research progress of artificial intelligence in the precise diagnosis and treatment of retroperitoneal tumors

doi:10.3877/cma.j.issn.1674-392X.2025.04.002

Abstract

Abstract:

Retroperitoneal tumors (RPT), originating from the retroperitoneal space, are characterized by their deep anatomical location, complex origins, and high heterogeneity. These tumors often lack specific clinical manifestations and exhibit diverse pathological subtypes, yet they share similar imaging features across subtypes, making it difficult to achieve early and precise diagnosis. Surgical resection remains the primary treatment for RPT, while pharmacological interventions have shown limited efficacy. Artificial intelligence technologies can offer innovative pathways for RPT precise diagnosis and prognosis assessment through automated feature extraction and integration of multi-dimensional data. This review aims to summarize the applications of artificial intelligence in RPT imaging, pathology, and molecular diagnostics, as well as the advancements in multi-modal and multi-omics integration, thereby highlighting its development prospects in precise diagnosis and treatment for RPT.

Key words: Retroperitoneal tumors, Artificial intelligence, Precise diagnosis and treatment, Multimodal model, Multi-omics research

Yuming Zhan, Xiang Zhang, Shangeng Weng. Research progress of artificial intelligence in the precise diagnosis and treatment of retroperitoneal tumors[J]. Chinese Journal of Hernia and Abdominal Wall Surgery(Electronic Edition), 2025, 19(04): 371-376.

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References 46

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